Based on our record, YOLO should be more popular than Onlineocr.net. It has been mentiond 14 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
OpenCV and "AI" can work well together; see YOLO: https://pjreddie.com/darknet/yolo/. - Source: Hacker News / 6 months ago
Then there is the creator of YOLO. His resume is epic. It's completely My Little Pony themed. Source: over 1 year ago
For the API, I've used python and django. For image processing and detecting persons in image, I used yolov3. If any person exceeded limit that user gave, the API sends notification to user via telegram. Source: almost 2 years ago
The paper says the source code is available: Https://pjreddie.com/darknet/yolo/. Source: about 2 years ago
If you are trying to identify objects in an image (like 'cat', 'person', etc), then you might look at YOLO. There are lots of github projects using it to explore, too. Source: about 2 years ago
Hey! I know exactly what you mean: de-scrambling sentences and lists because of those damn columns sucks, but being blind, and with relatively few pdf, text, doc, etc, or interactive cyoas, it's complicated. My experience is, the drive to doc technique is probably the best, but onlineocr.net isn't bad either: on really hard conversions, I use both. I know thatt my reply comes a bit late, but still, good luck and... Source: over 1 year ago
Look for a website that can use OCR to make the text selectable in ur pdf. U can try onlineocr.net. Source: over 1 year ago
The best OCR I have come across on the internet is the one on onlineocr.net however its page limit makes its paid version not worth buying. Are there any other OCRs on the internet with similar quality, paid or not, my goal here is to make searchable word documents of textbooks. Source: almost 2 years ago
📎34. onlineocr.net: Recognize text from scanned PDFs and images “ see other OCR tools. Source: about 2 years ago
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